Executive Development Programme in Customer Advocacy Analytics

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The Executive Development Programme in Customer Advocacy Analytics is a certificate course designed to empower professionals with the essential skills needed to thrive in today's data-driven business landscape. This programme focuses on the critical area of customer advocacy analytics, which involves using data to understand customer needs, preferences, and behaviors to drive business growth and improve customer experience.

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ใ“ใฎใ‚ณใƒผใ‚นใซใคใ„ใฆ

In an era where customer experience is a key differentiator, this course is increasingly important for professionals looking to advance their careers and stay competitive in their industries. The course equips learners with the latest tools and techniques for analyzing customer data, enabling them to make data-driven decisions and drive business success. Learners will gain hands-on experience with industry-leading analytics tools, develop a deep understanding of customer advocacy strategies, and learn how to communicate insights effectively to key stakeholders. By completing this course, learners will be able to demonstrate their expertise in customer advocacy analytics, making them highly valuable to employers and positioning them for career advancement in a wide range of industries.

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ใฉใ“ใ‹ใ‚‰ใงใ‚‚ๅญฆ็ฟ’

ๅ…ฑๆœ‰ๅฏ่ƒฝใช่จผๆ˜Žๆ›ธ

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้€ฑ2-3ๆ™‚้–“

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ๅพ…ๆฉŸๆœŸ้–“ใชใ—

ใ‚ณใƒผใ‚น่ฉณ็ดฐ

โ€ข Customer Advocacy Analytics Fundamentals: Understanding the basics of customer advocacy analytics, its importance, and how it contributes to business growth.
โ€ข Data Collection Techniques: Identifying and gathering relevant customer data through various sources and methods.
โ€ข Data Analysis Tools: Exploring popular data analysis tools and techniques to derive meaningful insights from collected data.
โ€ข Customer Segmentation: Analyzing customer data to segment customers based on demographics, behavior, and preferences.
โ€ข Customer Lifetime Value (CLV): Calculating and understanding the importance of CLV in customer advocacy analytics.
โ€ข Sentiment Analysis: Measuring customer sentiment through social media and customer feedback to monitor brand reputation.
โ€ข Predictive Analytics: Using statistical algorithms and machine learning techniques to predict customer behavior and preferences.
โ€ข Data Visualization: Presenting data in a visual format to communicate insights effectively to stakeholders.
โ€ข Customer Advocacy Programs: Designing and implementing customer advocacy programs based on data insights.
โ€ข Continuous Improvement: Monitoring and evaluating customer advocacy programs to ensure continuous improvement and optimization.

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ใ“ใฎใ‚ณใƒผใ‚นใฎๆ”ฏๆ‰•ใ„ใฎใŸใ‚ใซไผš็คพ็”จใฎ่ซ‹ๆฑ‚ๆ›ธใ‚’ใƒชใ‚ฏใ‚จใ‚นใƒˆใ—ใฆใใ ใ•ใ„ใ€‚

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ใ‚ญใƒฃใƒชใ‚ข่จผๆ˜Žๆ›ธใ‚’ๅ–ๅพ—

ใ‚ตใƒณใƒ—ใƒซ่จผๆ˜Žๆ›ธใฎ่ƒŒๆ™ฏ
EXECUTIVE DEVELOPMENT PROGRAMME IN CUSTOMER ADVOCACY ANALYTICS
ใซๆŽˆไธŽใ•ใ‚Œใพใ™
ๅญฆ็ฟ’่€…ๅ
ใงใƒ—ใƒญใ‚ฐใƒฉใƒ ใ‚’ๅฎŒไบ†ใ—ใŸไบบ
London College of Foreign Trade (LCFT)
ๆŽˆไธŽๆ—ฅ
05 May 2025
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